This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
Evaluation of the Sentinel-1 SAR image processing algorithms performance
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Authors
Gregoriy Kaplan 
Abstract
The following paper discussed the performance of previously developed SAR algorithms applied to Sentinel-1 imagery. The outputs of algorithms were correlated to top-performing Sentinel-2 reNDVI algorithms. The study found that Levelled and Normalized Sigma nought outperformed the Gamma Nought, and, especially, Sigma Nought, and RVI algorithms.
DOI
https://doi.org/10.31223/X5SQ5P
Subjects
Environmental Monitoring, Physical Sciences and Mathematics
Keywords
SAR, Sentinel-1, Incidence Angle, reNDVI
Dates
Published: 2024-03-08 17:31
Last Updated: 2024-03-09 01:31
License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
The Author declares no conflicts of interest.
Data Availability (Reason not available):
All the necessary data and equations are provided in the manuscript. All additional data will not provide and additional insight.
There are no comments or no comments have been made public for this article.